Functions and methods to visualize and analyze flow cytometry data.
While high-dimensional single-cell based flow and mass cytometry data has demonstrated increased applications in microenvironment composition and stem-cell research, integrated analyzing workflow design for experimental cytometry data has been challenging. Here, we present flowSpy, an R package designed for the analysis and interpretation of flow and mass cytometry data. We have applied flowSpy to mass cytometry and time course flow cytometry data to validate the usage and practical utility of its computational modules. These use cases introduce flowSpy as a reliable tool for high-dimensional cytometry data workflow and reveal good performance on trajectory reconstruction and pseudotime estimation.
Maintainer: Yuting Dai <firstname.lastname@example.org> Authors: Yuting Dai
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